Skip to Main content Skip to Navigation
Conference papers

Incorporating Big Data Analytics into Enterprise Information Systems

Abstract : Big data analytics has received widespread attention for enterprise development and enterprise information systems (EIS). However, how can it enhance the development of EIS? How can it be incorporated into EIS? Both are still big issues. This paper addresses these two issues by proposing an ontology of a big data analytics. This paper also examines incorporation of big data analytics into EIS through proposing BABES: a model for incorporating big data analytics services into EIS. The proposed approach in this paper might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence as well as intelligent agents.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download

https://hal.inria.fr/hal-01466248
Contributor : Hal Ifip <>
Submitted on : Monday, February 13, 2017 - 2:35:23 PM
Last modification on : Friday, August 21, 2020 - 3:34:10 PM
Long-term archiving on: : Sunday, May 14, 2017 - 2:04:26 PM

File

978-3-319-24315-3_31_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Zhaohao Sun, Francisca Pambel, Fangwei Wang. Incorporating Big Data Analytics into Enterprise Information Systems. 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2015, Daejon, South Korea. pp.300-309, ⟨10.1007/978-3-319-24315-3_31⟩. ⟨hal-01466248⟩

Share

Metrics

Record views

275

Files downloads

549